An Intelligent Water Drop Algorithm for Optimizing Task Scheduling in Grid Environment
Journal: The International Arab Journal of Information Technology (Vol.13, No. 6)Publication Date: 2016-11-01
Authors : Sornapandy Selvarani; Gangadharan Sadhasivam;
Page : 627-634
Keywords : grid computing; IWD; task scheduling; ACO.;
Abstract
The goal of grid computing is to provide powerful computing for complex scientific problems by utilizing and sharing large scale resources available in the grid. Efficient scheduling algorithms are needed to allocate suitable resource s for each submitted task. So scheduling is one of the most important issues for achieving high performance computing in grid. This paper addresses an approach for optimizing scheduling using a nature inspired Intelligent Water Drops (IWD) algorithm. In the proposed approach IWD algorithm is adopted to improve the performance of task scheduling in grid environment. The performance of Ant Colony Optimization(ACO) algorithm for task scheduling is compared with the proposed IWD approach and it is proved that task scheduling using IWD can efficiently and effectively allocate tasks to suitable resources in the grid.
Other Latest Articles
- IHPProxy: Improving the Performance of HPProxy by Adding Extra Hot-Points
- Modified Bee Colony Optimization for the Selection of Different Combination of Food Sources
- An Adaptive Weighted Fuzzy Mean Filter Based on Cloud Model
- Prediction of Part of Speech Tags for Punjabi using Support Vector Machines
- An Efficient Approach for Mining Frequent Item sets with Transaction Deletion Operation
Last modified: 2019-11-14 16:32:52